Auto-regressive (AR) algorithms predict each symbol from the previous context.
Some of them are PixelCNN [1]}, PixelCNN++ [2]}, DistAug [3]}, etc..
They have great compression ratios with accurate modelling.
However during decompression, since one pixel can be predicted only when all previous ones are known, one inference of the network can only decode one symbol, resulting in a very slow decompression speed.

